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Big data analytics: Finding value despite the hype

机译:大数据分析:尽管炒作也能找到价值

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摘要

In many ways I liken the current Industrial Internet of Things (IIoT) hype to the original dot-com bubble 15 years ago. Although short-term expectations well exceeded short-term gains, no one can deny the longterm transformative power of the Internet. The IIoT may not bring dramatic transformation by 2016, but in 2020 or 2025, when we take a step back to see how far we have come, I believe the resounding response will be that the revolution was real. In the industrial sector, we have the benefit and curse of technology refresh rates typically measured in decades, and technology selection processes typically measured in months or years. This is a benefit, because the technology we buy is built to last and provides a return on investment (ROI) well beyond that of other industries. It is also a curse. Since we do not get new technology very often, when we get the chance we often bite off more than we can chew, are paralyzed by fear of the unknown, or seek out the new shiny toy.
机译:在许多方面,我将当前的工业物联网(IIoT)炒作比作15年前的原始互联网泡沫。尽管短期期望远远超过了短期收益,但没有人可以否认互联网的长期变革能力。 IIoT到2016年可能不会带来巨大的转变,但是在2020年或2025年,当我们退后一步看我们已经走了多远时,我相信,革命将是真实的,这将是一个响亮的反应。在工业领域,我们受益于技术更新率(通常以数十年为单位)和技术选择过程(通常以数月或数年为单位)来衡量。这是一个好处,因为我们购买的技术经久耐用,并提供了远远超过其他行业的投资回报(ROI)。这也是一个诅咒。由于我们并不经常获得新技术,因此当我们有机会时,我们经常会咬得比嚼不住的多,害怕未知的事物会瘫痪,或者寻找新的闪亮玩具。

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